Background

I have created some cool data visualizations and schematic model descriptions, mostly using Python and matplotlib. I store them here for future references.

1 Epidemics in Dynamic Networks of Segregated Communities

Figure 1. Segregated Spreading

  • This project will result in the production of a relational spatially-enabled database integrating all known surface water, ground water, and water quality data for the middle Rio Grande basin study area. \(hi+2\)
    • Additionally, Visual Basic for Applications (VBA) code and Structured Query Language (SQL) code are products of the project.All updateable datasets are acquired from the original data source (for example, EPA websites).
    • Updatable data sources are acquired at specified intervals – quarterly, or as needed.
      • As new static data sources are discovered, they will be integrated into the proposed compendium. Data will be processed using dataset‐specific VBA programs. Program file comment headers will be included in the code to explain required input variables, purpose of the program, and requirements needed by the user.
      • Code will be annotated to promote code readability.

2 Schelling Model

Figure 2. Schelling Model

3 Karate Club

drawing

(See, for example, Briney, Goben, and Zilinski 2015)

4 Epidemics on Empirical Dynamic Networks

Figure 4. Segregated Spreading Generated by my software EPYC, Used in Sajjadi, Ejtehadi, and Ghanbarnejad (2020).

References

Briney, Kristin, Abigail Goben, and Lisa Zilinski. 2015. “Do You Have an Institutional Data Policy? A Review of the Current Landscape of Library Data Services and Institutional Data Policies.” Journal of Librarianship and Scholarly Communication 3 (2). https://doi.org/10.7710/2162-3309.1232.

Sajjadi, Sina, Mohammad Reza Ejtehadi, and Fakhteh Ghanbarnejad. 2020. “Impact of Temporal Correlations on High Risk Outbreaks of Independent and Cooperative SIR Dynamics.” arXiv:2003.01268 [Physics, Q-Bio], March. http://arxiv.org/abs/2003.01268.